<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 7 HW: genetic-circuits-part-ii :: 2026a-emmanuel-pereyra</title><link>https://pages.htgaa.org/2026a/emmanuel-pereyra/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Task Part 1: Intracellular Artificial Neural Networks (IANN) 1. Advantages of IANNs vs. Boolean Logic Continuous/gradual response (not just ON/OFF) Integrate multiple weighted signals (weighted sum type) Allow thresholds, nonlinearity, and fine-tuning Greater robustness to biological noise Scalability for complex functions (not just AND/OR) 2. Useful Application (example: intelligent intestinal biosensor) Input:
X1 = microbial metabolites (SCFAs)
X2 = inflammatory signal (NF-κB)
X3 = drug present
Behavior:
The IANN integrates signals → calculates an “activation”
If it exceeds the threshold → activates the expression of a therapeutic (or fluorescent) protein</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/emmanuel-pereyra/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>